Eye mouse for disabled

Kocejko,; Bujnowski, Adam; Wtorek, Jerzy

doi:10.1109/hsi.2008.4581433

Cited by 47 publications

(27 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results are presented in Tables 2 and 3. Note that the achieved results are comparable to the performance rates reported for active vision-based eyeblink detection systems [9,31]. In the proposed solution, the correct eye localization rate is the same as the correct face detection rate, that is 99.74%.…”

Section: Performance Of the Systemsupporting

confidence: 73%

See 1 more Smart Citation

Eye-blink detection system for human–computer interaction

Królak

Strumiłło

2011

Univ Access Inf Soc

187

109

View full text Add to dashboard Cite

A vision-based human-computer interface is presented in the paper. The interface detects voluntary eyeblinks and interprets them as control commands. The employed image processing methods include Haar-like features for automatic face detection, and template matching based eye tracking and eye-blink detection. Interface performance was tested by 49 users (of which 12 were with physical disabilities). Test results indicate interface usefulness in offering an alternative mean of communication with computers. The users entered English and Polish text (with average time of less than 12s per character) and were able to browse the Internet. The interface is based on a notebook equipped with a typical web camera and requires no extra light sources. The interface application is available on-line as open-source software.

show abstract

Section: Performance Of the Systemsupporting

confidence: 73%

“…A more efficient system was described in [9]. It uses two webcams-one for pupil tracking and second for estimating head position relative to the screen.…”

Section: Previous Workmentioning

confidence: 99%

Eye-blink detection system for human–computer interaction

Królak

Strumiłło

2011

Univ Access Inf Soc

187

109

View full text Add to dashboard Cite

show abstract

“…In this study we verified the possible use of eyetracking algorithms developed earlier [26] for the interaction with graphical user interfaces for the control of smart objects.…”

Section: Interaction Using Eye-trackingmentioning

confidence: 84%

“…It is essential for the reliable transformation from the pupil position to accurate and precise "cursor" position on the near-to-eye display. The used eye-tracking algorithm was previously described in [26] and the study dedicated to the accuracy analysis in reference to near-to-eye display was presented in [24]. Here we analyzed the possible use of events that are related to eye movements for the interaction with a simple GUI of the smart object.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification

Rumiński

Bujnowski

Kocejko

et al. 2016

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

We propose the use of smart glasses to collaborate with smart objects in the Internet of Things environment. Particularly we are focusing on new interaction methods and the analysis of acceptable reaction times in the process of object recognition using smart glasses. We evaluated the proposed method using user studies and experiments with three different smart glasses: Google Glass, Epson Moverio, and the developed eGlasses platform. We conclude that using the proposed method it is possible to recognize objects and process information allowing object detection below the average acceptance response times specified by almost all participants in the user study. Additionally, we showed that eye-tracking can be used for simple interaction between a user and a graphical user interface presented in the near-to-eye display.

show abstract